Group 1: AI Model Development and Applications - The company has developed the "Kuangming" new energy model 3.0, leveraging over 15 years of power prediction data and a multidisciplinary team of over 100 AI engineers and dozens of PhD experts [2][3] - The model enhances long-term trend analysis and extreme weather response capabilities, significantly improving economic efficiency in energy management [2][3] - The model's application in power prediction and grid management has improved accuracy in predicting power generation and extreme weather events [2][3] Group 2: Market Expansion and Performance Metrics - In the first half of 2025, the company added 1,116 new power prediction users, a 26% increase compared to the end of 2024, bringing the total to 5,461 [3][4] - The renewal rate for power prediction service fees has consistently remained above 95%, indicating strong customer retention and growth [3][4] Group 3: Policy and Market Demand Changes - The National Energy Administration's guidelines emphasize the "four controllable" management requirements for distributed photovoltaic systems, impacting market demand for power prediction services [4][5] - The growth in distributed photovoltaic installations has significantly influenced the company's service expansion, particularly in the distributed power prediction sector [4][5] Group 4: Competitive Landscape and Profitability - The distributed power prediction market is characterized by numerous small-scale projects, with larger integrated companies showing less interest in this segment [5] - The decline in the overall gross margin for power prediction services in the first half of 2025 is attributed to changes in revenue structure, with increased revenue from power prediction equipment affecting margins [5]
国能日新(301162) - 2025年9月5日投资者关系活动记录表